Pandas Profiling Report

Dataset statistics

Number of variables	23
Number of observations	3677
Missing cells	9171
Missing cells (%)	10.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.2 MiB
Average record size in memory	631.8 B

Variable types

Text	3
Categorical	10
Numeric	10

Alerts

`store room` is highly imbalanced (55.7%)	Imbalance
`floorNum` has 2431 (66.1%) missing values	Missing
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 2036 (55.4%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73095338)	Skewed
`built_up_area` is highly skewed (γ1 = 40.14464398)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323909)	Skewed
`luxury_score` has 481 (13.1%) zeros	Zeros

Reproduction

Analysis started	2024-02-13 04:16:15.312464
Analysis finished	2024-02-13 04:16:24.723817
Duration	9.41 seconds
Software version	ydata-profiling vv4.6.4
Download configuration	config.json

society
Text

Distinct	675
Distinct (%)	18.4%
Missing	1
Missing (%)	< 0.1%
Memory size	293.9 KiB

Length

Max length	49
Median length	39
Mean length	16.863166
Min length	1

Characters and Unicode

Total characters	61989
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	307 ?
Unique (%)	8.4%

Sample

1st row	the lions cghs
2nd row	bestech park view residency
3rd row	bptp freedom park life
4th row	ss the leaf
5th row	vatika city homes

Value	Count	Frequency (%)
independent	491	5.1%
the	350	3.6%
dlf	220	2.3%
park	209	2.2%
city	166	1.7%
emaar	155	1.6%
global	153	1.6%
m3m	152	1.6%
signature	150	1.6%
heights	134	1.4%
Other values (781)	7497	77.5%

Most occurring characters

Value	Count	Frequency (%)
e	6701	10.8%
	6003	9.7%
a	5864	9.5%
r	4171	6.7%
n	4160	6.7%
i	3827	6.2%
t	3716	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18377	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	55441	89.4%
Space Separator	6003	9.7%
Decimal Number	527	0.9%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6701	12.1%
a	5864	10.6%
r	4171	7.5%
n	4160	7.5%
i	3827	6.9%
t	3716	6.7%
s	3472	6.3%
l	2943	5.3%
o	2755	5.0%
d	2482	4.5%
Other values (16)	15350	27.7%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6003	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	55441	89.4%
Common	6548	10.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6701	12.1%
a	5864	10.6%
r	4171	7.5%
n	4160	7.5%
i	3827	6.9%
t	3716	6.7%
s	3472	6.3%
l	2943	5.3%
o	2755	5.0%
d	2482	4.5%
Other values (16)	15350	27.7%

Common

Value	Count	Frequency (%)
	6003	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	61989	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6701	10.8%
	6003	9.7%
a	5864	9.5%
r	4171	6.7%
n	4160	6.7%
i	3827	6.2%
t	3716	6.0%
s	3472	5.6%
l	2943	4.7%
o	2755	4.4%
Other values (31)	18377	29.6%

property_type
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.6 KiB

flat	2818
house	859

Length

Max length	5
Median length	4
Mean length	4.2336144
Min length	4

Characters and Unicode

Total characters	15567
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15567	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15567	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15567	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

sector
Text

Distinct	113
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	266.9 KiB

Length

Max length	26
Median length	9
Mean length	9.3209138
Min length	7

Characters and Unicode

Total characters	34273
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 56
2nd row	sector 2
3rd row	sector 57
4th row	sector 85
5th row	sector 83

Value	Count	Frequency (%)
sector	3452	46.8%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	107	1.4%
92	100	1.4%
69	93	1.3%
90	89	1.2%
81	87	1.2%
65	87	1.2%
Other values (106)	2915	39.5%

Most occurring characters

Value	Count	Frequency (%)
o	3807	11.1%
	3705	10.8%
s	3697	10.8%
r	3697	10.8%
e	3542	10.3%
c	3503	10.2%
t	3463	10.1%
1	1076	3.1%
0	804	2.3%
8	780	2.3%
Other values (21)	6199	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23299	68.0%
Decimal Number	7269	21.2%
Space Separator	3705	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3807	16.3%
s	3697	15.9%
r	3697	15.9%
e	3542	15.2%
c	3503	15.0%
t	3463	14.9%
a	699	3.0%
d	249	1.1%
n	221	0.9%
h	203	0.9%
Other values (10)	218	0.9%

Decimal Number

Value	Count	Frequency (%)
1	1076	14.8%
0	804	11.1%
8	780	10.7%
9	764	10.5%
6	742	10.2%
7	684	9.4%
2	676	9.3%
3	666	9.2%
5	593	8.2%
4	484	6.7%

Space Separator

Value	Count	Frequency (%)
	3705	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23299	68.0%
Common	10974	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3807	16.3%
s	3697	15.9%
r	3697	15.9%
e	3542	15.2%
c	3503	15.0%
t	3463	14.9%
a	699	3.0%
d	249	1.1%
n	221	0.9%
h	203	0.9%
Other values (10)	218	0.9%

Common

Value	Count	Frequency (%)
	3705	33.8%
1	1076	9.8%
0	804	7.3%
8	780	7.1%
9	764	7.0%
6	742	6.8%
7	684	6.2%
2	676	6.2%
3	666	6.1%
5	593	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34273	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3807	11.1%
	3705	10.8%
s	3697	10.8%
r	3697	10.8%
e	3542	10.3%
c	3503	10.2%
t	3463	10.1%
1	1076	3.1%
0	804	2.3%
8	780	2.3%
Other values (21)	6199	18.1%

price
Real number (ℝ)

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336639

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9806235
Coefficient of variation (CV)	1.1764084
Kurtosis	14.933373
Mean	2.5336639
Median Absolute Deviation (MAD)	0.72
Skewness	3.2791705
Sum	9273.21
Variance	8.8841164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.2	64	1.7%
1.5	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.6%
2	52	1.4%
0.95	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13892.668

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.95
Q1	6817.25
median	9020
Q3	13880.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063.25

Descriptive statistics

Standard deviation	23210.067
Coefficient of variation (CV)	1.6706702
Kurtosis	186.92801
Mean	13892.668
Median Absolute Deviation (MAD)	2794
Skewness	11.43719
Sum	50847166
Variance	5.3870722 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
11111	13	0.4%
6666	13	0.4%
22222	13	0.4%
7500	12	0.3%
8333	12	0.3%
6000	11	0.3%
Other values (2641)	3509	95.4%
(Missing)	17	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

SKEWED

Distinct	2762
Distinct (%)	75.5%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2888.3887

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	518.8855
Q1	1231.97
median	1733.015
Q3	2300.095
95-th percentile	4245.8975
Maximum	875000
Range	874950
Interquartile range (IQR)	1068.125

Descriptive statistics

Standard deviation	23167.504
Coefficient of variation (CV)	8.0209095
Kurtosis	942.02894
Mean	2888.3887
Median Absolute Deviation (MAD)	532.945
Skewness	29.730953
Sum	10571503
Variance	5.3673325 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2000	33	0.9%
1000	18	0.5%
1650.17	17	0.5%
1250	13	0.4%
500	11	0.3%
900.09	10	0.3%
1650.05	10	0.3%
900	9	0.2%
1350.01	9	0.2%
1800.01	9	0.2%
Other values (2752)	3521	95.8%
(Missing)	17	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857.14	1	< 0.1%
620000	1	< 0.1%
566666.67	1	< 0.1%
215517.24	1	< 0.1%
98977.95	1	< 0.1%
82781.46	1	< 0.1%
65517.24	2	0.1%
65261.04	1	< 0.1%
58227.85	1	< 0.1%

areaWithType
Text

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	428.2 KiB

Length

Max length	124
Median length	119
Mean length	54.236062
Min length	12

Characters and Unicode

Total characters	199426
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Super Built up area 2400(222.97 sq.m.)Built Up area: 2000 sq.ft. (185.81 sq.m.)Carpet area: 1800 sq.ft. (167.23 sq.m.)
2nd row	Super Built up area 1565(145.39 sq.m.)
3rd row	Built Up area: 5010 (465.44 sq.m.)
4th row	Super Built up area 1741(161.74 sq.m.)Built Up area: 1730 sq.ft. (160.72 sq.m.)Carpet area: 1720 sq.ft. (159.79 sq.m.)
5th row	Super Built up area 1740(161.65 sq.m.)Carpet area: 1225 sq.ft. (113.81 sq.m.)

Value	Count	Frequency (%)
area	5573	18.5%
sq.m	3655	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8700	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82758	41.5%
Decimal Number	47135	23.6%
Space Separator	26464	13.3%
Other Punctuation	23406	11.7%
Uppercase Letter	8593	4.3%
Close Punctuation	5535	2.8%
Open Punctuation	5535	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13154	15.9%
r	9456	11.4%
e	9320	11.3%
s	7567	9.1%
q	7431	9.0%
t	7324	8.8%
u	6770	8.2%
p	6767	8.2%
m	5544	6.7%
l	3701	4.5%
Other values (5)	5724	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9205	19.5%
0	6628	14.1%
2	5688	12.1%
5	4714	10.0%
3	3960	8.4%
4	3711	7.9%
6	3674	7.8%
7	3254	6.9%
8	3157	6.7%
9	3144	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3020	35.1%
S	1875	21.8%
C	1872	21.8%
U	1145	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20389	87.1%
:	3017	12.9%

Space Separator

Value	Count	Frequency (%)
	26464	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5535	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108075	54.2%
Latin	91351	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13154	14.4%
r	9456	10.4%
e	9320	10.2%
s	7567	8.3%
q	7431	8.1%
t	7324	8.0%
u	6770	7.4%
p	6767	7.4%
m	5544	6.1%
l	3701	4.1%
Other values (10)	14317	15.7%

Common

Value	Count	Frequency (%)
	26464	24.5%
.	20389	18.9%
1	9205	8.5%
0	6628	6.1%
2	5688	5.3%
)	5535	5.1%
(	5535	5.1%
5	4714	4.4%
3	3960	3.7%
4	3711	3.4%
Other values (5)	16246	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199426	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

bedRoom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3600761

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8976289
Coefficient of variation (CV)	0.56475771
Kurtosis	18.212873
Mean	3.3600761
Median Absolute Deviation (MAD)	1
Skewness	3.4851418
Sum	12355
Variance	3.6009954
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	942	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.8%
7	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1496	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4245309

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9480681
Coefficient of variation (CV)	0.56885693
Kurtosis	17.542297
Mean	3.4245309
Median Absolute Deviation (MAD)	1
Skewness	3.2488298
Sum	12592
Variance	3.7949693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	238.2 KiB

3+	1172
3	1074
2	884
1	365
0	96

Length

Max length	2
Median length	1
Mean length	1.3421267
Min length	1

Characters and Unicode

Total characters	4935
Distinct characters	7
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3+
2nd row	3
3rd row	3+
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1074	29.2%
2	884	24.0%
1	365	9.9%
0	96	2.6%
No	86	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2246	61.1%
2	884	24.0%
1	365	9.9%
0	96	2.6%
no	86	2.3%

Most occurring characters

Value	Count	Frequency (%)
3	2246	45.5%
+	1172	23.7%
2	884	17.9%
1	365	7.4%
0	96	1.9%
N	86	1.7%
o	86	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3591	72.8%
Math Symbol	1172	23.7%
Uppercase Letter	86	1.7%
Lowercase Letter	86	1.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2246	62.5%
2	884	24.6%
1	365	10.2%
0	96	2.7%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Uppercase Letter

Value	Count	Frequency (%)
N	86	100.0%

Lowercase Letter

Value	Count	Frequency (%)
o	86	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4763	96.5%
Latin	172	3.5%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2246	47.2%
+	1172	24.6%
2	884	18.6%
1	365	7.7%
0	96	2.0%

Latin

Value	Count	Frequency (%)
N	86	50.0%
o	86	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4935	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2246	45.5%
+	1172	23.7%
2	884	17.9%
1	365	7.4%
0	96	1.9%
N	86	1.7%
o	86	1.7%

floorNum
Real number (ℝ)

MISSING

Distinct	20
Distinct (%)	1.6%
Missing	2431
Missing (%)	66.1%
Infinite	0
Infinite (%)	0.0%
Mean	4.0401284

Minimum	0
Maximum	51
Zeros	3
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	4
95-th percentile	12
Maximum	51
Range	51
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	4.4260994
Coefficient of variation (CV)	1.0955343
Kurtosis	16.524098
Mean	4.0401284
Median Absolute Deviation (MAD)	1
Skewness	3.2024875
Sum	5034
Variance	19.590356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
2	493	13.4%
3	273	7.4%
12	158	4.3%
1	152	4.1%
4	127	3.5%
22	13	0.4%
5	8	0.2%
14	3	0.1%
0	3	0.1%
6	3	0.1%
Other values (10)	13	0.4%
(Missing)	2431	66.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	3	0.1%
1	152	4.1%
2	493	13.4%
3	273	7.4%
4	127	3.5%
5	8	0.2%
6	3	0.1%
10	2	0.1%
11	2	0.1%
12	158	4.3%

Value	Count	Frequency (%)
51	1	< 0.1%
33	1	< 0.1%
32	2	0.1%
27	1	< 0.1%
22	13	0.4%
21	1	< 0.1%
20	1	< 0.1%
16	1	< 0.1%
14	3	0.1%
13	1	< 0.1%

facing
Categorical

MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	250.0 KiB

East	623
North-East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8381459
Min length	4

Characters and Unicode

Total characters	17998
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	East
2nd row	South-West
3rd row	East
4th row	South-East
5th row	South-East

Common Values

Value	Count	Frequency (%)
East	623	16.9%
North-East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	623	23.7%
north-east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13082	72.7%
Uppercase Letter	3774	21.0%
Dash Punctuation	1142	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3774	28.8%
s	2014	15.4%
o	1760	13.5%
h	1760	13.5%
a	1419	10.8%
r	1203	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1419	37.6%
N	1203	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16856	93.7%
Common	1142	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3774	22.4%
s	2014	11.9%
o	1760	10.4%
h	1760	10.4%
E	1419	8.4%
a	1419	8.4%
N	1203	7.1%
r	1203	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17998	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	280.3 KiB

relatively new	1646
new property	593
moderately new	563
Undefined	437
old property	303
Other values (2)	135

Length

Max length	18
Median length	14
Mean length	13.062823
Min length	9

Characters and Unicode

Total characters	48032
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	old property
2nd row	moderately new
3rd row	moderately new
4th row	relatively new
5th row	moderately new

Common Values

Value	Count	Frequency (%)
relatively new	1646	44.8%
new property	593	16.1%
moderately new	563	15.3%
Undefined	437	11.9%
old property	303	8.2%
under construction	134	3.6%
undefined	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2802	40.5%
relatively	1646	23.8%
property	896	13.0%
moderately	563	8.1%
undefined	438	6.3%
old	303	4.4%
under	134	1.9%
construction	134	1.9%

Most occurring characters

Value	Count	Frequency (%)
e	9126	19.0%
r	4269	8.9%
l	4158	8.7%
n	4080	8.5%
t	3373	7.0%
	3239	6.7%
y	3105	6.5%
w	2802	5.8%
i	2218	4.6%
a	2209	4.6%
Other values (10)	9453	19.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	44356	92.3%
Space Separator	3239	6.7%
Uppercase Letter	437	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	9126	20.6%
r	4269	9.6%
l	4158	9.4%
n	4080	9.2%
t	3373	7.6%
y	3105	7.0%
w	2802	6.3%
i	2218	5.0%
a	2209	5.0%
o	2030	4.6%
Other values (8)	6986	15.7%

Space Separator

Value	Count	Frequency (%)
	3239	100.0%

Uppercase Letter

Value	Count	Frequency (%)
U	437	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	44793	93.3%
Common	3239	6.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	9126	20.4%
r	4269	9.5%
l	4158	9.3%
n	4080	9.1%
t	3373	7.5%
y	3105	6.9%
w	2802	6.3%
i	2218	5.0%
a	2209	4.9%
o	2030	4.5%
Other values (9)	7423	16.6%

Common

Value	Count	Frequency (%)
	3239	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	9126	19.0%
r	4269	8.9%
l	4158	8.7%
n	4080	8.5%
t	3373	7.0%
	3239	6.7%
y	3105	6.5%
w	2802	5.8%
i	2218	4.6%
a	2209	4.6%
Other values (10)	9453	19.7%

super_built_up_area
Real number (ℝ)

MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.5
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	37	1.0%
1950	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
1900	19	0.5%
2408	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1802	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

MISSING SKEWED

Distinct	626
Distinct (%)	38.1%
Missing	2036
Missing (%)	55.4%
Infinite	0
Infinite (%)	0.0%
Mean	2394.3309

Minimum	30
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	30
5-th percentile	267
Q1	1125
median	1650
Q3	2400
95-th percentile	4680
Maximum	737147
Range	737117
Interquartile range (IQR)	1275

Descriptive statistics

Standard deviation	18203.807
Coefficient of variation (CV)	7.6028787
Kurtosis	1621.2744
Mean	2394.3309
Median Absolute Deviation (MAD)	600
Skewness	40.144644
Sum	3929097
Variance	3.3137861 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	36	1.0%
1900	34	0.9%
2700	33	0.9%
1350	33	0.9%
900	27	0.7%
1600	26	0.7%
1300	24	0.7%
2000	24	0.7%
1700	23	0.6%
Other values (616)	1340	36.4%
(Missing)	2036	55.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
30	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	4	0.1%
61	1	< 0.1%
62	1	< 0.1%
67	2	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%
7450	1	< 0.1%
7331	2	0.1%

carpet_area
Real number (ℝ)

MISSING SKEWED

Distinct	733
Distinct (%)	39.2%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1795

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147166
Kurtosis	604.53764
Mean	2529.1795
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	1.0%
1600	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1578	42.9%
(Missing)	1805	49.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

servant room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	2349
1	1328

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring characters

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2349	63.9%
1	1328	36.1%

pooja room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3021
1	656

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring characters

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3021	82.2%
1	656	17.8%

store room
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3339
1	338

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring characters

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3339	90.8%
1	338	9.2%

study room
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	2972
1	705

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring characters

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2972	80.8%
1	705	19.2%

others
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3272
1	405

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring characters

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3272	89.0%
1	405	11.0%

furniture_labels
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	2436
2	1038
1	203

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	0
3rd row	2
4th row	0
5th row	2

Common Values

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	203	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	203	5.5%

Most occurring characters

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	203	5.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	203	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	203	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2436	66.2%
2	1038	28.2%
1	203	5.5%

luxury_score
Real number (ℝ)

ZEROS

Distinct	116
Distinct (%)	3.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.621431

Minimum	0
Maximum	136
Zeros	481
Zeros (%)	13.1%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	23
median	45
Q3	84
95-th percentile	136
Maximum	136
Range	136
Interquartile range (IQR)	61

Descriptive statistics

Standard deviation	41.706065
Coefficient of variation (CV)	0.74982006
Kurtosis	-0.87842812
Mean	55.621431
Median Absolute Deviation (MAD)	29
Skewness	0.47593511
Sum	204520
Variance	1739.3958
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	481	13.1%
35	418	11.4%
136	215	5.8%
28	99	2.7%
21	83	2.3%
52	79	2.1%
15	73	2.0%
45	64	1.7%
30	63	1.7%
127	60	1.6%
Other values (106)	2042	55.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	481	13.1%
6	7	0.2%
7	52	1.4%
8	49	1.3%
9	1	< 0.1%
13	14	0.4%
14	34	0.9%
15	73	2.0%
16	26	0.7%
17	1	< 0.1%

Value	Count	Frequency (%)
136	215	5.8%
130	20	0.5%
129	43	1.2%
128	17	0.5%
127	60	1.6%
123	10	0.3%
122	35	1.0%
121	24	0.7%
120	35	1.0%
119	18	0.5%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	society	property_type	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	servant room	pooja room	store room	study room	others	furniture_labels	luxury_score
0	the lions cghs	flat	sector 56	1.99	11055.0	1800.09	Super Built up area 2400(222.97 sq.m.)Built Up area: 2000 sq.ft. (185.81 sq.m.)Carpet area: 1800 sq.ft. (167.23 sq.m.)	4	4	3+	NaN	East	old property	2400.0	2000.0	1800.0	0	1	0	0	1	2	92
1	bestech park view residency	flat	sector 2	0.98	6261.0	1565.25	Super Built up area 1565(145.39 sq.m.)	2	2	3	NaN	South-West	moderately new	1565.0	NaN	NaN	0	0	0	1	0	0	75
2	bptp freedom park life	flat	sector 57	5.50	8982.0	6123.36	Built Up area: 5010 (465.44 sq.m.)	5	6	3+	NaN	East	moderately new	NaN	5010.0	NaN	1	1	0	0	0	2	120
3	ss the leaf	flat	sector 85	1.25	7179.0	1741.19	Super Built up area 1741(161.74 sq.m.)Built Up area: 1730 sq.ft. (160.72 sq.m.)Carpet area: 1720 sq.ft. (159.79 sq.m.)	2	2	3	NaN	South-East	relatively new	1741.0	1730.0	1720.0	0	0	0	0	0	0	35
4	vatika city homes	flat	sector 83	1.05	8571.0	1225.06	Super Built up area 1740(161.65 sq.m.)Carpet area: 1225 sq.ft. (113.81 sq.m.)	3	3	3	NaN	South-East	moderately new	1740.0	NaN	1225.0	0	1	0	0	0	2	81
5	aipl the peaceful homes	flat	sector 70a	2.80	11914.0	2350.18	Super Built up area 2350(218.32 sq.m.)Carpet area: 1322 sq.ft. (122.82 sq.m.)	3	4	3	22.0	North-East	relatively new	2350.0	NaN	1322.0	1	0	0	0	0	0	35
6	ss the leaf	flat	sector 85	1.04	8320.0	1250.00	Super Built up area 1640(152.36 sq.m.)Built Up area: 1550 sq.ft. (144 sq.m.)Carpet area: 1250 sq.ft. (116.13 sq.m.)	2	2	3	NaN	East	new property	1640.0	1550.0	1250.0	0	0	0	0	1	0	116
7	international city by sobha phase 1	house	sector 109	5.90	24280.0	2429.98	Plot area 270(225.75 sq.m.)	4	5	2	2.0	East	relatively new	NaN	2430.0	NaN	1	0	0	0	0	2	90
8	tulip violet	flat	sector 69	1.55	9822.0	1578.09	Super Built up area 1578(146.6 sq.m.)	3	3	2	NaN	North-East	relatively new	1578.0	NaN	NaN	0	1	0	0	0	2	127
9	ats kocoon	flat	sector 109	2.95	10350.0	2850.24	Built Up area: 3150 (292.64 sq.m.)Carpet area: 2850 sq.ft. (264.77 sq.m.)	4	4	3+	NaN	South-East	relatively new	NaN	3150.0	2850.0	1	0	1	0	0	2	120

	society	property_type	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	servant room	pooja room	study room	others	furniture_labels	luxury_score
3792	smart world orchard	flat	sector 61	1.65	13750.0	1200.00	Carpet area: 1200 (111.48 sq.m.)	2	2	2	NaN	NaN	under construction	NaN	NaN	1200.00	0	0	1	0	0	8
3793	smart world orchard	flat	sector 61	1.60	13913.0	1150.00	Carpet area: 1150 (106.84 sq.m.)	2	2	2	NaN	North-East	new property	NaN	NaN	1150.00	0	0	1	1	0	20
3794	mvn athens	flat	sohna road	0.24	4210.0	570.07	Super Built up area 570(52.95 sq.m.)	2	2	1	12.0	NaN	relatively new	570.0	NaN	NaN	0	0	0	0	0	30
3795	sare crescent parc	flat	sector 92	1.00	4778.0	2092.93	Built Up area: 2093 (194.45 sq.m.)	4	4	3	NaN	NaN	Undefined	NaN	2093.0	NaN	0	0	0	0	0	0
3796	vatika gurgaon	flat	sector 83	0.87	6987.0	1245.17	Super Built up area 1245(115.66 sq.m.)	2	2	2	NaN	East	moderately new	1245.0	NaN	NaN	0	0	0	0	0	21
3798	emaar gurgaon greens	flat	sector 102	1.40	13690.0	1022.64	Super Built up area 1650(153.29 sq.m.)Carpet area: 1022.58 sq.ft. (95 sq.m.)	3	3	3	NaN	East	relatively new	1650.0	NaN	1022.58	1	0	0	0	0	52
3799	dlf the arbour	flat	sector 63	8.50	21519.0	3950.00	Built Up area: 3950 (366.97 sq.m.)	4	4	No	NaN	NaN	Undefined	NaN	3950.0	NaN	0	0	0	0	0	54
3800	emaar mgf emerald floors premier	flat	sector 65	2.80	16969.0	1650.07	Super Built up area 1975(183.48 sq.m.)Built Up area: 1800 sq.ft. (167.23 sq.m.)Carpet area: 1650 sq.ft. (153.29 sq.m.)	4	4	3	2.0	North	relatively new	1975.0	1800.0	1650.00	0	0	1	0	2	67
3801	signature global synera	flat	sector 81	0.48	8450.0	568.05	Super Built up area 657(61.04 sq.m.)Carpet area: 568 sq.ft. (52.77 sq.m.)	2	2	1	NaN	South-East	relatively new	657.0	NaN	568.00	0	0	0	0	2	63
3802	independent	house	sector 41	11.00	33951.0	3239.96	Plot area 360(301.01 sq.m.)	4	4	2	3.0	East	new property	NaN	3240.0	NaN	1	1	1	0	0	21

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Uppercase Letter

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)